The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-11"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "4177504 (up from 4101699 yesterday: 1.85 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "286330 (up from 282709 yesterday: 1.28 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.85



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1347881 18621 1.40 80682 1156 1.45 5.99
Spain 227436 3086 1.38 26744 123 0.46 11.76
United Kingdom 224332 3883 1.76 32141 211 0.66 14.33
Russia 221344 11656 5.56 2009 94 4.91 0.91
Italy 219814 744 0.34 30739 179 0.59 13.98
France 177547 453 0.26 26646 263 1.00 15.01
Germany 172576 697 0.41 7661 92 1.22 4.44
Brazil 169594 6895 4.24 11653 530 4.76 6.87
Turkey 139771 1114 0.80 3841 55 1.45 2.75
Iran 109286 1683 1.56 6685 45 0.68 6.12
China 84011 1 0.00 4637 0 0.00 5.52
Canada 71264 1173 1.67 5115 124 2.48 7.18
India 70768 3607 5.37 2294 82 3.71 3.24
Peru 68822 1515 2.25 1961 72 3.81 2.85
Belgium 53449 368 0.69 8707 51 0.59 16.29
Netherlands 42987 161 0.38 5475 16 0.29 12.74
Saudi Arabia 41014 1966 5.03 255 9 3.66 0.62
Mexico 36327 1305 3.73 3573 108 3.12 9.84
Pakistan 32081 1747 5.76 706 47 7.13 2.20
Switzerland 30344 39 0.13 1845 12 0.65 6.08
Chile 30063 1197 4.15 323 11 3.53 1.07
Ecuador 29509 -50 -0.17 2145 18 0.85 7.27
Portugal 27679 98 0.36 1144 9 0.79 4.13
Sweden 26670 348 1.32 3256 31 0.96 12.21
Belarus 23906 933 4.06 135 4 3.05 0.56
Singapore 23822 486 2.08 21 1 5.00 0.09
Qatar 23623 1103 4.90 14 0 0.00 0.06
Ireland 23135 139 0.60 1467 9 0.62 6.34
United Arab Emirates 18878 680 3.74 201 3 1.52 1.06
Israel 16506 29 0.18 258 6 2.38 1.56
Poland 16326 330 2.06 811 11 1.38 4.97
Austria 15882 11 0.07 620 2 0.32 3.90
Japan 15847 70 0.44 633 9 1.44 3.99
Bangladesh 15691 1034 7.05 239 11 4.82 1.52
Ukraine 15648 416 2.73 408 17 4.35 2.61
Romania 15588 226 1.47 982 21 2.19 6.30
Indonesia 14265 233 1.66 991 18 1.85 6.95
Colombia 11613 550 4.97 479 16 3.46 4.12
Philippines 11086 292 2.71 726 7 0.97 6.55
Korea, South 10936 27 0.25 258 2 0.78 2.36
Denmark 10711 84 0.79 533 4 0.76 4.98
South Africa 10652 637 6.36 206 12 6.19 1.93
Dominican Republic 10634 287 2.77 393 5 1.29 3.70
Serbia 10176 144 1.44 218 3 1.40 2.14
Egypt 9746 346 3.68 533 8 1.52 5.47
Kuwait 9286 598 6.88 65 7 12.07 0.70
Panama 8616 168 1.99 249 5 2.05 2.89
Czechia 8176 53 0.65 282 2 0.71 3.45
Norway 8132 27 0.33 224 5 2.28 2.75
Australia 6970 22 0.32 97 0 0.00 1.39
Malaysia 6726 70 1.05 109 1 0.93 1.62
Morocco 6281 218 3.60 188 0 0.00 2.99
Argentina 6278 244 4.04 314 9 2.95 5.00
Finland 5984 22 0.37 271 4 1.50 4.53
Algeria 5891 168 2.94 507 5 1.00 8.61
Bahrain 5236 295 5.97 8 0 0.00 0.15
Kazakhstan 5207 117 2.30 32 1 3.23 0.61
Moldova 4995 68 1.38 175 6 3.55 3.50
Ghana 4700 437 10.25 22 0 0.00 0.47
Afghanistan 4687 285 6.47 122 2 1.67 2.60
Nigeria 4641 242 5.50 150 7 4.90 3.23
Luxembourg 3888 2 0.05 101 0 0.00 2.60
Oman 3573 174 5.12 17 0 0.00 0.48
Armenia 3392 79 2.38 46 1 2.22 1.36
Hungary 3284 21 0.64 421 8 1.94 12.82
Thailand 3015 6 0.20 56 0 0.00 1.86
Bolivia 2831 275 10.76 122 4 3.39 4.31
Iraq 2818 51 1.84 110 1 0.92 3.90
Greece 2726 10 0.37 151 0 0.00 5.54
Cameroon 2689 110 4.27 125 11 9.65 4.65
Azerbaijan 2589 70 2.78 32 0 0.00 1.24
Uzbekistan 2486 68 2.81 10 0 0.00 0.40
Croatia 2196 9 0.41 91 1 1.11 4.14
Guinea 2146 0 0.00 11 0 0.00 0.51
Bosnia and Herzegovina 2141 24 1.13 113 6 5.61 5.28
Honduras 2100 128 6.49 116 8 7.41 5.52
Bulgaria 1990 25 1.27 93 2 2.20 4.67
Senegal 1886 177 10.36 19 0 0.00 1.01
Iceland 1801 0 0.00 10 0 0.00 0.56
Cuba 1783 17 0.96 77 0 0.00 4.32
Estonia 1741 2 0.12 61 1 1.67 3.50
Cote d’Ivoire 1730 30 1.76 21 0 0.00 1.21
North Macedonia 1664 22 1.34 91 0 0.00 5.47
Sudan 1526 161 11.79 74 4 5.71 4.85
New Zealand 1497 0 0.00 21 0 0.00 1.40
Lithuania 1485 6 0.41 50 0 0.00 3.37
Slovenia 1460 3 0.21 102 0 0.00 6.99
Slovakia 1457 0 0.00 26 0 0.00 1.78
Djibouti 1227 17 1.40 3 0 0.00 0.24
Guatemala 1114 62 5.89 26 0 0.00 2.33
Somalia 1089 35 3.32 52 1 1.96 4.78
Tunisia 1032 0 0.00 45 0 0.00 4.36
Congo (Kinshasa) 1024 33 3.33 41 0 0.00 4.00
Kyrgyzstan 1016 14 1.40 12 0 0.00 1.18

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 337055 1660 0.49 26988 347 1.30 8.01 17326.13 1387.30 1 in 58
New Jersey 140206 1452 1.05 9340 84 0.91 6.66 15785.07 1051.54 1 in 63
Illinois 79007 1266 1.63 3459 53 1.56 4.38 6234.86 272.97 1 in 160
Massachusetts 78462 669 0.86 5108 129 2.59 6.51 11290.30 735.02 1 in 89
California 69329 1729 2.56 2779 63 2.32 4.01 1754.62 70.33 1 in 570
Pennsylvania 60459 520 0.87 3832 26 0.68 6.34 4722.63 299.33 1 in 212
Michigan 47552 370 0.78 4584 29 0.64 9.64 4761.46 459.00 1 in 210
Florida 40982 386 0.95 1735 14 0.81 4.23 1908.12 80.78 1 in 524
Texas 40555 1297 3.30 1117 23 2.10 2.75 1398.65 38.52 1 in 715
Georgia 34002 422 1.26 1444 38 2.70 4.25 3202.47 136.00 1 in 312
Connecticut 33765 211 0.63 3008 41 1.38 8.91 9470.49 843.69 1 in 106
Maryland 33373 786 2.41 1683 39 2.37 5.04 5520.14 278.38 1 in 181
Louisiana 31815 215 0.68 2308 22 0.96 7.25 6843.71 496.47 1 in 146
Virginia 25070 989 4.11 850 11 1.31 3.39 2937.14 99.58 1 in 340
Ohio 24777 696 2.89 1357 16 1.19 5.48 2119.67 116.09 1 in 472
Indiana 24627 501 2.08 1540 32 2.12 6.25 3658.08 228.75 1 in 273
Colorado 19879 176 0.89 987 16 1.65 4.97 3451.97 171.39 1 in 290
Washington 17122 231 1.37 945 14 1.50 5.52 2248.49 124.10 1 in 445
Tennessee 15544 559 3.73 251 8 3.29 1.61 2274.78 36.73 1 in 440
North Carolina 15274 336 2.25 575 11 1.95 3.76 1456.32 54.82 1 in 687
Iowa 12373 414 3.46 271 6 2.26 2.19 3921.62 85.89 1 in 255
Minnesota 11799 528 4.68 591 13 2.25 5.01 2092.16 104.79 1 in 478
Rhode Island 11450 176 1.56 430 8 1.90 3.76 10808.40 405.91 1 in 93
Arizona 11383 264 2.37 542 6 1.12 4.76 1494.83 71.18 1 in 669
Wisconsin 10418 199 1.95 409 9 2.25 3.93 1789.29 70.25 1 in 559
Alabama 10164 275 2.78 403 10 2.54 3.96 2072.94 82.19 1 in 482
Missouri 10157 89 0.88 514 11 2.19 5.06 1654.93 83.75 1 in 604
Mississippi 9674 173 1.82 435 5 1.16 4.50 3250.51 146.16 1 in 308
Nebraska 8407 236 2.89 98 8 8.89 1.17 4346.03 50.66 1 in 230
South Carolina 7792 139 1.82 346 15 4.53 4.44 1513.39 67.20 1 in 661
Kansas 7159 208 2.99 180 6 3.45 2.51 2457.34 61.79 1 in 407
Kentucky 6677 237 3.68 311 7 2.30 4.66 1494.51 69.61 1 in 669
Delaware 6565 288 4.59 225 4 1.81 3.43 6741.88 231.06 1 in 148
District of Columbia 6389 117 1.87 328 5 1.55 5.13 9052.79 464.75 1 in 110
Utah 6362 111 1.78 68 1 1.49 1.07 1984.43 21.21 1 in 504
Nevada 6152 32 0.52 312 2 0.65 5.07 1997.30 101.29 1 in 501
New Mexico 5069 206 4.24 208 8 4.00 4.10 2417.46 99.20 1 in 414
Oklahoma 4613 24 0.52 274 2 0.74 5.94 1165.79 69.24 1 in 858
Arkansas 4043 31 0.77 94 3 3.30 2.33 1339.71 31.15 1 in 746
South Dakota 3614 97 2.76 34 0 0.00 0.94 4085.19 38.43 1 in 245
Oregon 3286 58 1.80 130 3 2.36 3.96 779.09 30.82 1 in 1284
New Hampshire 3160 89 2.90 133 0 0.00 4.21 2324.02 97.81 1 in 430
Idaho 2260 30 1.35 70 3 4.48 3.10 1261.11 39.06 1 in 793
Puerto Rico 2256 58 2.64 113 2 1.80 5.01 706.39 35.38 1 in 1416
North Dakota 1518 27 1.81 36 1 2.86 2.37 1991.96 47.24 1 in 502
Maine 1462 26 1.81 65 1 1.56 4.45 1087.63 48.36 1 in 919
West Virginia 1366 6 0.44 54 0 0.00 3.95 764.35 30.22 1 in 1308
Vermont 926 -1 -0.11 53 0 0.00 5.72 1484.00 84.94 1 in 674
Wyoming 669 7 1.06 7 0 0.00 1.05 1155.92 12.09 1 in 865
Hawaii 634 2 0.32 17 0 0.00 2.68 447.78 12.01 1 in 2233
Montana 459 1 0.22 16 0 0.00 3.49 429.46 14.97 1 in 2328
Alaska 379 0 0.00 10 0 0.00 2.64 518.08 13.67 1 in 1930

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1204651 337055 27.98 61924.45
New Jersey 425933 140206 32.92 47953.60
Illinois 442425 79007 17.86 34914.08
Massachusetts 394728 78462 19.88 56799.46
California 991897 69329 6.99 25103.55
Pennsylvania 288858 60459 20.93 22563.53
Michigan 298948 47552 15.91 29934.14
Florida 561057 40982 7.30 26122.72
Texas 525697 40555 7.71 18130.06
Georgia 251288 34002 13.53 23667.51
Connecticut 132508 33765 25.48 37166.15
Maryland 164780 33373 20.25 27255.83
Louisiana 220830 31815 14.41 47502.64
Virginia 150617 25070 16.64 17645.91
Ohio 210530 24777 11.77 18010.80
Indiana 146688 24627 16.79 21788.95
Colorado 108790 19879 18.27 18891.30
Washington 248875 17122 6.88 32682.67
Tennessee 273277 15544 5.69 39992.69
North Carolina 195865 15274 7.80 18675.00
Iowa 77792 12373 15.91 24656.19
Minnesota 115781 11799 10.19 20529.89
Rhode Island 93332 11450 12.27 88102.17
Arizona 150241 11383 7.58 19729.89
Wisconsin 118451 10418 8.80 20343.90
Alabama 129444 10164 7.85 26399.98
Missouri 115620 10157 8.78 18838.51
Mississippi 95885 9674 10.09 32217.81
Nebraska 46239 8407 18.18 23903.44
South Carolina 84457 7792 9.23 16403.51
Kansas 54109 7159 13.23 18573.01
Kentucky 86923 6677 7.68 19455.99
Delaware 31928 6565 20.56 32788.23
District of Columbia 30261 6389 21.11 42877.85
Utah 150585 6362 4.22 46970.36
Nevada 60084 6152 10.24 19506.80
New Mexico 102498 5069 4.95 48882.38
Oklahoma 95992 4613 4.81 24258.96
Arkansas 69030 4043 5.86 22874.09
South Dakota 24578 3614 14.70 27782.46
Oregon 77606 3286 4.23 18399.91
New Hampshire 34883 3160 9.06 25654.72
Idaho 32142 2260 7.03 17935.73
Puerto Rico 2256 2256 100.00 706.39
North Dakota 47014 1518 3.23 61693.14
Maine 23554 1462 6.21 17522.53
West Virginia 63469 1366 2.15 35514.15
Vermont 20871 926 4.44 33447.71
Wyoming 12065 669 5.54 20846.33
Hawaii 37683 634 1.68 26614.69
Montana 22572 459 2.03 21119.45
Alaska 28680 379 1.32 39204.70

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 23401 1230 5.55 4786 20.45 17747 868 36 4.33 3.71
Gujarat 8542 347 4.23 2780 32.55 5249 513 20 4.06 6.01
Tamil Nadu 8002 798 11.08 2051 25.63 5898 53 6 12.77 0.66
Delhi 7233 310 4.48 2129 29.43 5031 73 0 0.00 1.01
Rajasthan 4035 221 5.79 2362 58.54 1558 115 7 6.48 2.85
Madhya Pradesh 3785 171 4.73 1747 46.16 1817 221 6 2.79 5.84
Uttar Pradesh 3573 106 3.06 1758 49.20 1735 80 1 1.27 2.24
West Bengal 2063 124 6.40 499 24.19 1374 190 5 2.70 9.21
Andhra Pradesh 2018 38 1.92 998 49.45 975 45 0 0.00 2.23
Punjab 1877 54 2.96 168 8.95 1678 31 0 0.00 1.65
Telangana 1275 79 6.61 801 62.82 444 30 0 0.00 2.35
Jammu and Kashmir 879 18 2.09 427 48.58 442 10 1 11.11 1.14
Karnataka 862 14 1.65 426 49.42 404 31 0 0.00 3.60
Bihar 749 53 7.61 377 50.33 366 6 0 0.00 0.80
Haryana 730 -1 -0.14 337 46.16 382 11 1 10.00 1.51
Kerala 520 7 1.36 489 94.04 27 4 0 0.00 0.77
Odisha 414 37 9.81 85 20.53 326 3 0 0.00 0.72
Chandigarh 181 8 4.62 28 15.47 150 3 0 0.00 1.66
Jharkhand 161 4 2.55 78 48.45 80 3 0 0.00 1.86
Tripura 152 1 0.66 2 1.32 150 0 0 NaN 0.00
Uttarakhand 68 0 0.00 46 67.65 21 1 0 0.00 1.47
Assam 65 3 4.84 40 61.54 24 1 0 0.00 1.54
Chhattisgarh 59 0 0.00 53 89.83 6 0 0 NaN 0.00
Himachal Pradesh 59 4 7.27 35 59.32 18 3 0 0.00 5.08
Ladakh 42 0 0.00 22 52.38 20 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Meghalaya 13 0 0.00 10 76.92 2 1 0 0.00 7.69
Puducherry 12 0 0.00 9 75.00 3 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 492642 81871 364 0.45 16.62 5397 341 30411 15054 18.39
Piemonte 213783 28776 111 0.39 13.46 2021 135 13338 3400 11.82
Emilia-Romagna 234619 26876 80 0.30 11.46 1537 141 7040 3867 14.39
Veneto 445905 18741 19 0.10 4.20 400 38 5460 1666 8.89
Toscana 179469 9787 13 0.13 5.45 347 77 4073 950 9.71
Liguria 68814 8832 44 0.50 12.83 484 38 2844 1293 14.64
Lazio 181398 7190 25 0.35 3.96 1266 83 4294 562 7.82
Marche 77830 6543 10 0.15 8.41 277 28 3227 964 14.73
Campania 119042 4602 14 0.31 3.87 436 23 1909 392 8.52
Puglia 79737 4327 14 0.32 5.43 340 32 2544 451 10.42
P.A. Trento 53398 4297 2 0.05 8.05 84 11 735 443 10.31
Sicilia 103134 3339 12 0.36 3.24 271 16 2062 257 7.70
Friuli Venezia Giulia 90860 3138 8 0.26 3.45 96 3 830 312 9.94
Abruzzo 48903 3107 4 0.13 6.35 231 9 1609 366 11.78
P.A. Bolzano 50019 2572 3 0.12 5.14 63 7 447 290 11.28
Umbria 47474 1412 1 0.07 2.97 40 4 108 71 5.03
Sardegna 34641 1343 3 0.22 3.88 84 10 511 120 8.94
Valle d’Aosta 10063 1158 1 0.09 11.51 44 1 107 139 12.00
Calabria 47265 1134 2 0.18 2.40 64 1 568 93 8.20
Basilicata 18266 386 1 0.26 2.11 46 1 142 27 6.99
Molise 9390 383 13 3.51 4.08 11 0 229 22 5.74

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 38480 748 1.98 3014 85 2.90 7.83 4507.08 353.02 1 in 222
Ontario 21817 348 1.62 1788 37 2.11 8.20 1482.96 121.53 1 in 674
Alberta 6300 47 0.75 117 0 0.00 1.86 1427.55 26.51 1 in 700
British Columbia 2353 23 0.99 130 1 0.78 5.52 460.39 25.44 1 in 2172
Nova Scotia 1019 1 0.10 48 1 2.13 4.71 1042.50 49.11 1 in 959
Saskatchewan 568 4 0.71 7 0 0.00 1.23 480.68 5.92 1 in 2080
Manitoba 289 2 0.70 7 0 0.00 2.42 209.80 5.08 1 in 4766
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 120 0 0.00 0 0 NaN 0.00 153.85 0.00 1 in 6500
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68134 4512 6.62
Guangdong 1589 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1047 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 659 7 1.06
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 209 1 0.48
Shanxi 198 0 0.00
Tianjin 191 3 1.57
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 147 2 1.36
Gansu 139 2 1.44
Jilin 127 1 0.79
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 4119.44 246.58 1 in 243
Spain 4874.32 573.17 1 in 205
United Kingdom 3376.46 483.76 1 in 296
Russia 1531.79 13.90 1 in 653
Italy 3634.49 508.25 1 in 275
France 2650.35 397.76 1 in 377
Germany 2084.50 92.54 1 in 480
Brazil 810.29 55.68 1 in 1234
Turkey 1729.63 47.53 1 in 578
Iran 1346.55 82.37 1 in 743
China 60.61 3.35 1 in 16498
Canada 1895.82 136.07 1 in 527
India 52.85 1.71 1 in 18921
Peru 2139.32 60.96 1 in 467
Belgium 4688.51 763.77 1 in 213
Netherlands 2502.15 318.68 1 in 400
Saudi Arabia 1245.11 7.74 1 in 803
Mexico 281.17 27.65 1 in 3557
Pakistan 162.85 3.58 1 in 6141
Switzerland 3540.72 215.29 1 in 282

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 185357 20056 10.82
Cook Illinois 53381 2361 4.42
Nassau New York 38337 1973 5.15
Suffolk New York 36911 1639 4.44
Los Angeles California 32263 1570 4.87
Westchester New York 31384 1227 3.91
Philadelphia Pennsylvania 18313 893 4.88
Wayne Michigan 18194 2105 11.57
Hudson New Jersey 17801 996 5.60
Middlesex Massachusetts 17774 1235 6.95
Bergen New Jersey 17028 1358 7.98
Essex New Jersey 15727 1431 9.10
Suffolk Massachusetts 15356 731 4.76
Passaic New Jersey 14645 747 5.10
Miami-Dade Florida 14167 490 3.46
Union New Jersey 14164 875 6.18
Middlesex New Jersey 14036 794 5.66
Fairfield Connecticut 13312 1034 7.77
Rockland New York 12484 576 4.61
Essex Massachusetts 11432 669 5.85
Prince George’s Maryland 9687 359 3.71
Orange New York 9584 388 4.05
New Haven Connecticut 9260 716 7.73
Providence Rhode Island 8674 0 0.00
Harris Texas 8176 179 2.19
Worcester Massachusetts 7818 457 5.85
Oakland Michigan 7752 849 10.95
Ocean New Jersey 7569 547 7.23
Marion Indiana 7510 423 5.63
Hartford Connecticut 7358 921 12.52
King Washington 7068 506 7.16
Norfolk Massachusetts 7004 661 9.44
Monmouth New Jersey 6988 445 6.37
Montgomery Maryland 6909 388 5.62
Jefferson Louisiana 6755 402 5.95
Orleans Louisiana 6693 470 7.02
Plymouth Massachusetts 6457 408 6.32
District of Columbia District of Columbia 6389 328 5.13
Fairfax Virginia 6200 243 3.92
Dallas Texas 6123 145 2.37
Macomb Michigan 6064 699 11.53
Maricopa Arizona 5988 250 4.18
Broward Florida 5882 258 4.39
Morris New Jersey 5876 518 8.82
Mercer New Jersey 5393 340 6.30
Lake Illinois 5323 173 3.25
Montgomery Pennsylvania 5292 525 9.92
Riverside California 5189 217 4.18
San Diego California 5065 175 3.46
Delaware Pennsylvania 5046 399 7.91

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc